Papers Data Driven Optimal Control
“Data Driven Optimal Control” 태그가 달린 논문 9편 · 필터 해제
End-to-End Learning Framework for Solving Non-Markovian Optimal Control
Integer-order calculus often falls short in capturing the long-range dependencies and memory effects found in many real-world processes. Fractional calculus addresses these gaps via fractional-order integrals and derivat…
Data Driven Optimal ControlData-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator
Nonlinear optimal control is vital for numerous applications but remains challenging for unknown systems due to the difficulties in accurately modelling dynamics and handling computational demands, particularly in high-d…
Data Driven Optimal ControlModel-based Reinforcement LearningDirect Data-Driven Discounted Infinite Horizon Linear Quadratic Regulator with Robustness Guarantees
This paper presents a one-shot learning approach with performance and robustness guarantees for the linear quadratic regulator (LQR) control of stochastic linear systems. Even though data-based LQR control has been widel…
Data Driven Optimal ControlOne-Shot LearningOnline Reduced-Order Data-Enabled Predictive Control
Data-enabled predictive control (DeePC) has garnered significant attention for its ability to achieve safe, data-driven optimal control without relying on explicit system models. Traditional DeePC methods use pre-collect…
Data Driven Optimal ControlData-driven optimal control via linear programming: boundedness guarantees
The linear programming (LP) approach is, together with value iteration and policy iteration, one of the three fundamental methods to solve optimal control problems in a dynamic programming setting. Despite its simple for…
Data Driven Optimal ControlData-Driven Optimal Control of Tethered Space Robot Deployment with Learning Based Koopman Operator
To avoid complex constraints of the traditional nonlinear method for tethered space robot (TSR) deployment, this paper proposes a data-driven optimal control framework with an improved deep learning based Koopman operato…
Data Driven Optimal ControlData-Driven Optimal Control of Affine Systems: A Linear Programming Perspective
In this letter, we discuss the problem of optimal control for affine systems in the context of data-driven linear programming. First, we introduce a unified framework for the fixed point characterization of the value fun…
Data Driven Optimal ControlLEMMAOn a Stochastic Fundamental Lemma and Its Use for Data-Driven Optimal Control
Data-driven control based on the fundamental lemma by Willems et al. is frequently considered for deterministic LTI systems subject to measurement noise. However, besides measurement noise, stochastic disturbances might …
Data Driven Optimal ControlLEMMABayesian Optimization Assisted Meal Bolus Decision Based on Gaussian Processes Learning and Risk-Sensitive Control
Effective postprandial glucose control is important to glucose management for subjects with diabetes mellitus. In this work, a data-driven meal bolus decision method is proposed without the need of subject-specific gluco…
Bayesian OptimizationData Driven Optimal ControlGaussian ProcessesManagement